A locally and cubically convergent algorithm for computing 𝒵-eigenpairs of symmetric tensors.
Ruijuan ZhaoBing ZhengMaolin LiangYangyang XuPublished in: Numer. Linear Algebra Appl. (2020)
Keyphrases
- experimental evaluation
- times faster
- computational cost
- learning algorithm
- k means
- cost function
- high accuracy
- linear programming
- image sequences
- recognition algorithm
- convex hull
- tree structure
- optimization algorithm
- optimal solution
- expectation maximization
- particle swarm optimization
- detection algorithm
- probabilistic model
- computational complexity
- objective function
- provably convergent